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International Conference on Distributed Artificial Intelligence (2020 :)

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Distributed artificial intelligence = second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed artificial intelligence/ edited by Matthew E. Taylor ... [et al.].
Reminder of title:	second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020 : proceedings /
remainder title:	DAI 2020
other author:	Taylor, Matthew E.
corporate name:	International Conference on Distributed Artificial Intelligence
Published:	Cham :Springer International Publishing : : 2020.,
Description:	ix, 141 p. :ill., digital ;24 cm.
[NT 15003449]:	Parallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning -- LAC-Nav: Collision-Free Multiagent Navigation Based on The Local ActionCells -- MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning -- D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control -- Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control -- Hybrid Independent Learning in Cooperative Markov Games -- Efficient Exploration By Novelty-Pursuit -- Context-aware Multi-Agent Coordination with Loose Couplings and Repeated Interaction -- Battery Management for Automated Warehouses via Deep Reinforcement Learning.
Contained By:	Springer Nature eBook
Subject:	Distributed artificial intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-64096-5
ISBN:	9783030640965

Distributed artificial intelligence = second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020 : proceedings /
Distributed artificial intelligencesecond International Conference, DAI 2020, Nanjing, China, October 24-27, 2020 : proceedings /[electronic resource] :DAI 2020edited by Matthew E. Taylor ... [et al.]. - Cham :Springer International Publishing :2020. - ix, 141 p. :ill., digital ;24 cm. - Lecture notes in computer science,125470302-9743 ;. - Lecture notes in computer science ;12547..

Parallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning -- LAC-Nav: Collision-Free Multiagent Navigation Based on The Local ActionCells -- MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning -- D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control -- Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control -- Hybrid Independent Learning in Cooperative Markov Games -- Efficient Exploration By Novelty-Pursuit -- Context-aware Multi-Agent Coordination with Loose Couplings and Repeated Interaction -- Battery Management for Automated Warehouses via Deep Reinforcement Learning.

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI. Due to the Corona pandemic this event was held virtually.

ISBN: 9783030640965

Standard No.: 10.1007/978-3-030-64096-5doiSubjects--Topical Terms:

892611
Distributed artificial intelligence
--Congresses.

LC Class. No.: Q337 / .I57 2020

Dewey Class. No.: 006.30285436

Distributed artificial intelligence = second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020 : proceedings /
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520 $a This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI. Due to the Corona pandemic this event was held virtually.
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